Privacy Preserving Collaborative Query Service through Horizontal Data Integration (original) (raw)

International Journal of Modern Trends in Engineering and Research, 2016

Abstract

Query service for information on demand is a natural requirement. This paper proposes a privacy preserving collaborative query service. A service provider provides this service to its customer by integrating data from multiple heterogeneous and autonomous data sources each of which holds a horizontal subset of the query specific data. The customer and the data sources are unknown to each other. The service provider acts as a bridge between them for servicing the query while preserving privacy. Secure data exchange by commutative encryption is the basic cryptographic approach considered in this work.

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